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A credit scoring model for personal loans
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A credit scoring model for personal loans (1989)A credit scoring model for personal loansStacking ensemble method for personal credit risk assessment in Peer-to-Peer lending (2023)Stacking ensemble method for …Prediction of Loan Behaviour with Machine Learning Models for Secure Banking (2022)Prediction of Loan Behaviour …A Hybrid XGBoost-MLP Model for Credit Risk Assessment on Digital Supply Chain Finance (2022)A Hybrid XGBoost-MLP Model fo…Artificial neural network and Bayesian network models for credit risk prediction (2020)Artificial neural network and…Credit scoring for a microcredit data set using the synthetic minority oversampling technique and ensemble classifiers (2018)Credit scoring for a microcre…Using a naive Bayesian classifier methodology for loan risk assessment (2017)Using a naive Bayesian classi…Predicting creditworthiness in retail banking with limited scoring data (2016)Predicting creditworthiness i…Financial innovation: Credit default hybrid model for SME lending (2016)Financial innovation: Credit …A new dynamic modeling framework for credit risk assessment (2015)A new dynamic modeling framew…Credit risk evaluation using a weighted least squares SVM classifier with design of experiment for parameter selection (2011)Credit risk evaluation using …A hybrid approach to integrate genetic algorithm into dual scoring model in enhancing the performance of credit scoring model (2011)A hybrid approach to integrat…The consumer loan default predicting model – An application of DEA–DA and neural network (2009)The consumer loan default pre…Credit rating prediction using Ant Colony Optimization (2009)Credit rating prediction usin…Bio-Inspired Credit Risk Analysis (2008)Bio-Inspired Credit Risk Anal…Filter- versus wrapper-based feature selection for credit scoring (2005)Filter- versus wrapper-based …Count data models for a credit scoring system (1996)Count data models for a credi…Imperfect Information, Uncertainty, and Credit Rationing (1976)Credit Rationing in Markets with Imperfect Information (1981)Econometric Models for Count Data with an Application to the Patents-R & D Relationship (1984)Modelling different types of automobile insurance fraud behaviour in the Spanish market (1999)Optimal auditing for insurance fraud (2009)Using semi-supervised classifiers for credit scoring (2012)FINANCIAL RATIOS, DISCRIMINANT ANALYSIS AND THE PREDICTION OF CORPORATE BANKRUPTCY (1968)Statistical Classification Methods in Consumer Credit Scoring: A Review (1997)Neural network credit scoring models (2000)A novel ensemble feature selection method by integrating multiple ranking information combined with an SVM ensemble model for enterprise credit risk prediction in the supply chain (2022)Hyperparameter Tuning of Machine Learning Algorithms Using Response Surface Methodology: A Case Study of ANN, SVM, and DBN (2022)Prediction of bank credit worthiness through credit risk analysis: an explainable machine learning study (2024)Managerial Applications of Neural Networks: The Case of Bank Failure Predictions (1992)Corporate distress diagnosis: Comparisons using linear discriminant analysis and neural networks (the Italian experience) (1994)Genetic algorithms for credit scoring: Alternative fitness function performance comparison (2014)A novel hybrid credit scoring model based on ensemble feature selection and multilayer ensemble classification (2019)Metaheuristics for rich portfolio optimisation and risk management: Current state and future trends (2019)Introducing Recursive Partitioning for Financial Classification: The Case of Financial Distress (1985)An Analysis of Personal Financial Literacy Among College Students (1998)Forecasting efficiency of green suppliers by dynamic data envelopment analysis and artificial neural networks (2016)Rule-based credit risk assessment model using multi-objective evolutionary algorithms (2019)A new approach for evaluating technology inequality and diffusion barriers: The concept of efficiency Gini coefficient and its application in Chinese provinces (2021)Benchmarking state-of-the-art classification algorithms for credit scoring (2003)Basel Committee On Banking Supervision (2010)Assessing methodologies for intelligent bankruptcy prediction (2012)Credit Scoring: A Review on Support Vector Machines and Metaheuristic Approaches (2019)Advancing credit risk modelling with Machine Learning: A comprehensive review of the state-of-the-art (2024)Forecasting with artificial neural networks: (1998)THE IMPACT OF SOCIAL AND ECONOMIC FACTORS IN THE CREDIT RISK MANAGEMENT OF SME (2018)Artificial Intelligence Based Commercial Risk Management Framework for SMEs (2019)A neural network model for bankruptcy prediction (1990)Digital Economics (2019)A digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0 (2020)Exploring causal recipes of startup acceptance into business incubators: a cross-country study (2023)A dynamic financial risk prediction system for enterprises based on gradient boosting decision tree algorithm (2025)Comparative analysis of boosting algorithms for predicting personal default (2025)A study on predicting loan default based on the random forest algorithm (2019)Loan default prediction using decision trees and random forest: A comparative study (2021)An ensemble machine learning based bank loan approval predictions system with a smart application (2023)Machine Learning and Deep Learning for Loan Prediction in Banking: Exploring Ensemble Methods and Data Balancing (2024)The comparisons of data mining techniques for the predictive accuracy of probability of default of credit card clients (2008)Judging Borrowers by the Company They Keep: Friendship Networks and Information Asymmetry in Online Peer-to-Peer Lending (2012)Trust and Credit: The Role of Appearance in Peer-to-peer Lending (2012)Cost-sensitive stacking ensemble learning for company financial distress prediction (2024)How can artificial intelligence help customer intelligence for credit portfolio management? A systematic literature review (2024)Multi Criteria Decision Making in Financial Risk Management with a Multi-objective Genetic Algorithm (2017)Credit scoring methods: Latest trends and points to consider (2022)Consumer credit risk assessment: A review from the state-of-the-art classification algorithms, data traits, and learning methods (2023)
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  • 2011Credit risk evaluation using a weighted least squares SVM classifier with design of experiment for parameter selection98 cited
  • 2009The consumer loan default predicting model – An application of DEA–DA and neural network94 cited
  • 2011A hybrid approach to integrate genetic algorithm into dual scoring model in enhancing the performance of credit scoring model93 cited
  • 2022Prediction of Loan Behaviour with Machine Learning Models for Secure Banking90 cited
  • 2015A new dynamic modeling framework for credit risk assessment82 cited
  • 2016Financial innovation: Credit default hybrid model for SME lending79 cited
  • 2022A Hybrid XGBoost-MLP Model for Credit Risk Assessment on Digital Supply Chain Finance71 cited
  • 2009Credit rating prediction using Ant Colony Optimization66 cited
  • 1996Count data models for a credit scoring system64 cited
  • 2023Stacking ensemble method for personal credit risk assessment in Peer-to-Peer lending57 cited
  • 2016Predicting creditworthiness in retail banking with limited scoring data54 cited
  • 2005Filter- versus wrapper-based feature selection for credit scoring54 cited
  • 2008Bio-Inspired Credit Risk Analysis54 cited
  • 2018Credit scoring for a microcredit data set using the synthetic minority oversampling technique and ensemble classifiers

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49 cited
  • 2017Using a naive Bayesian classifier methodology for loan risk assessment47 cited
  • 2020Artificial neural network and Bayesian network models for credit risk prediction43 cited